Prospective Study Evaluating a Pain Assessment Tool in a Postoperative Environment: Protocol for Algorithm Testing and Enhancement

• DOI: 10.2196/17783
• Publication Date: 2020-05-16T02:21:11Z
• Authors: Emad Kasaeyan Naeini; Mingzhe Jiang; Elise Syrjälä; Michael-David Cal...; Riitta Mieronkoski; Kai Zheng; Nikil Dutt; Pasi Liljeberg; Sanna Salanterä; Ariana M Nelson; Amir M Rahmani
• Keywords: Photoplethysmogram; Pain Assessment; Vital signs; Gold standard (test)

Background Assessment of pain is critical to its optimal treatment. There a high demand for accurate objective assessment effectively optimizing management interventions. However, multivalent, dynamic, and ambiguous phenomenon that difficult quantify, particularly when the patient’s ability communicate limited. The criterion standard intensity self-reporting. this unidimensional model disparaged oversimplification limited applicability in several vulnerable patient populations. Researchers have attempted develop tools through analysis physiological indicators, such as electrocardiography, electromyography, photoplethysmography, electrodermal activity. by using only these signals can be unreliable, various other factors alter vital signs adaptation stimulation varies from person person. Objective behavioral facial expressions has recently gained attention. Our further development research tool use with patients who are likely experiencing mild moderate pain. We will collect observational data wearable technologies, measuring Methods This protocol focuses on second phase larger study multimodal signal acquisition muscle electrical activity, cardiac activity indicators building predictive models. used state-of-the-art sensors measure bioelectrical electromyographic changes heart rate, respiratory oxygen saturation. Based results, we developed reconstituted it modern sensors, devices, algorithms. In phase, test smart communicative after elective surgery recovery room. Results human protections application institutional review board was approved part study. expect available early 2021. Preliminary results ready publication during fall 2020. Conclusions help an monitoring International Registered Report Identifier (IRRID) DERR1-10.2196/17783